Laser & Optoelectronics Progress, Volume. 56, Issue 6, 062803(2019)
Method for Extraction of Point Cloud Feature Line
Fig. 3. Azimuthal angle of normal vectors on projection plane. (a) Point at boundary; (b) point in plane
Fig. 4. Maximum difference of azimuthal angles of adjacent normal vectors. (a) Under different range resolution; (b) under different neighborhood points
Fig. 6. Cluster results of fold point detection. (a) Cluster of point normal vectors in plane; (b) cluster of point normal vectors on fold; (c) cluster of point normal vectors on curve
Fig. 7. Extraction of boundary. (a) Original point cloud; (b) improved RANSAC method; (c) proposed method
Fig. 8. Fold lines extracted by different methods under condition of plane construction. (a) Original point cloud; (b) based on curvature method; (c) based on plane method; (d) based on proposed method
Fig. 9. Fold lines extracted by different methods under condition of non-plane construction. (a) Original point cloud; (b) based on curvature method; (c) based on plane method; (d) based on proposed method
Fig. 11. Extracted feature lines of bridge. (a) Feature lines extracted from first phase point cloud; (b) feature lines extracted from second phase point cloud
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Qiancheng Ren. Method for Extraction of Point Cloud Feature Line[J]. Laser & Optoelectronics Progress, 2019, 56(6): 062803
Category: Remote Sensing and Sensors
Received: Aug. 2, 2018
Accepted: Oct. 16, 2018
Published Online: Jul. 30, 2019
The Author Email: Qiancheng Ren (614991092@qq.com)